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Creating Data Driven Web Apps with BIRD Michael Williams March 18, 20141 Actuate Corporation 2012Todays Agenda and Goals Introduction to BIRD Designing BIRD Reports Designer APIs Deploying BIRD Viewer
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How to fill out creating data driven web:

01
Define the purpose and goals of your data driven website. This will guide the decisions you make throughout the process.
02
Determine the data sources that you will be utilizing for your website. These can include databases, APIs, and external data feeds.
03
Choose a programming language and framework that is suitable for building a data driven web application. Popular options include Python with Django, Ruby on Rails, and PHP with Laravel.
04
Design the database schema that will store your data. Consider the relationships between different data entities and how data will be organized and retrieved.
05
Implement the backend logic and functionality of your data driven web application. This involves writing code to handle data input, validation, storage, and retrieval.
06
Develop the user interface and front-end components of your website. Consider how users will interact with the data and design intuitive and user-friendly interfaces.
07
Test your application thoroughly to ensure that data is being handled correctly and that all functionality is working as expected.
08
Deploy your data driven web application to a web server or hosting service of your choice. Ensure that it is secure and accessible to your intended audience.
09
Monitor and analyze the data generated by your website. Use data analytics tools to gain insights and improve the performance and user experience of your application.

Who needs creating data driven web:

01
Businesses and organizations that rely on data to drive decision-making and improve operations. Data driven websites can provide valuable insights and enable data analysis.
02
Researchers and scientists who need to collect, store, and analyze large amounts of data. Data driven websites can facilitate data management and collaboration.
03
E-commerce platforms that require real-time data updates and personalized recommendations for their customers. Data driven websites can enhance the shopping experience and increase sales.
04
Government agencies and non-profit organizations that need to present data and information to the public in a dynamic and interactive way. Data driven websites can improve transparency and engagement.
05
Educational institutions and online learning platforms that offer courses and resources based on data analysis. Data driven websites can provide personalized learning experiences and track student progress.
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Creating data driven web involves using data to inform decisions and drive the content and functionality of a website.
Businesses and organizations that rely on data to drive their website content and functionality are required to create data driven web.
To fill out creating data driven web, one must gather and analyze relevant data, make data-driven decisions, and implement changes on the website accordingly.
The purpose of creating data driven web is to optimize the website's performance, user experience, and content by leveraging data insights.
Information about the data sources, analysis methods, decision-making processes, and resulting changes implemented on the website must be reported on creating data driven web.
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